Editing Symbolic AI and Expert Systems (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Symbolic AI''' — An approach to AI based on explicit representations of knowledge using symbols, rules, and logic, and manipulation of those representations according to formal rules.
* '''Expert system''' — A computer system that emulates the decision-making ability of a human expert in a specific domain, using a knowledge base and inference engine.
* '''Knowledge base''' — The repository of domain knowledge in an expert system, encoded as facts and rules.
* '''Inference engine''' — The component of an expert system that applies logical rules to the knowledge base to deduce new facts or make decisions.
* '''Rule-based system''' — A system where behavior is defined by IF-THEN production rules: IF [condition] THEN [action/conclusion].
* '''Forward chaining''' — A data-driven inference strategy: start from known facts, apply rules to derive new facts, repeat until the goal is reached.
* '''Backward chaining''' — A goal-driven inference strategy: start from the desired conclusion and work backward to find conditions that would prove it.
* '''Ontology''' — A formal representation of concepts, their properties, and relationships within a domain.
* '''Prolog''' — A logic programming language widely used for symbolic AI, based on Horn clauses and resolution.
* '''LISP''' — A programming language historically central to AI; known for symbolic computation and list processing.
* '''First-order logic (FOL)''' — A formal system for representing statements about objects and their relationships using predicates, quantifiers, and logical connectives.
* '''Fuzzy logic''' — An extension of classical logic that allows truth values between 0 and 1, enabling reasoning under uncertainty.
* '''STRIPS''' — Stanford Research Institute Problem Solver; a foundational AI planning formalism defining actions as preconditions and effects.
* '''Frame''' — A data structure representing a stereotypical situation (like a schema or class); used in knowledge representation.
* '''Semantic network''' — A graph-based knowledge representation where nodes are concepts and edges are labeled relationships.
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